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Compensation Manager Mountain View, California; San Francisco, California Apply now GAQ127R143 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a strategic and experienced
compensation lead to serve as a trusted partner to founders and senior leadership in our R&D org (technology and product teams). This is a key role on the
Compensation function at Databricks, reporting to the Senior Director of
Compensation. This role will support long-term business objectives by working within the overall
Compensation philosophy to co-create
compensation models that help attract, retain and motivate world-class technical talent. At Databricks, we don't believe
compensation is just a number; it's a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that! Scope of
the role This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:
Compensation solutioning for R&D Talent (40%) Managing
Compensation processes through the employee life cycle (30%) Contributing to building and delivering enterprise-wide
compensation programs/ frameworks (30%)
Requirements We’re looking for someone who has the following muscles: Comp expertise Know your craft - Job architecture, Comp frameworks, Market pricing, Year-end and Midyear pay cycle, global
compensation practices, pay for performance design Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics though not a requirement Know the competition - Deep expertise in tech
compensation practices, especially around new-hire and refresh equity strategies in the tech sector Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint. Operational and partnership excellence Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also thinking ahead and anticipating future needs Operational capability - Ability to connect the dots between systems, players, programs to seamlessly deliver
compensation programs/ products Savvy collaborator - Partner closely with founders and executive leadership to pre-empt, understand and solve business needs. Navigate at times competing priorities and opinions to drive the best outcomes Trusted advisor - Act as a trusted advisor on
compensation decisions, including offers, promotions, leveling, retention and M&A scenarios. Support sensitive, high-stakes
compensation decisions with sound judgment and data-backed recommendations. Pay Range Transparency Databricks is committed to fair and equitable
compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual
compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total
compensation package for this position may also include eligibility for annual performance
bonus, equity, and the
benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $217,800 — $299,550 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
Benefits At Databricks, we strive to provide comprehensive
benefits and
perks that meet the needs of all of our employees. For specific details on the
benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Why Databricks Discover For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Data Science Application Development Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Data Science Application Development Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Databricks AI Research Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Databricks AI Research Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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